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ELM

于 2013-03-15 发布 文件大小:814KB
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  In theory, this algorithm tends to provide good generalization performance at extremely fast learning speed.(The experimental results based on a few artificial and real benchmark function approximation and classification problems including very large complex applications show that the new algorithm can produce good generalization performance in most cases and can learn thousands of times faster than conventional popular learning algorithms for feedforward neural networks)

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